PointClickCare - Canada- Solution Engineer (Technical Services)
Requirements
• Experience in healthcare SaaS environments • Familiarity with HL7, FHIR, or healthcare data standards • Understanding of retrieval-based workflows or vector databases. • Exposure to Ai Agent Orchestration or Multi-Agent workflows • $85,000 - $100,000 a year • Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $85,000 -$100,000 + 10% bonus and Fulltime benefits. • Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived
Responsibilities
• Build Intelligent Operational Workflows: • Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes. Integrate LLM or AI services into structured workflows where appropriate, enabling autonomous processes that can be triggered, executed, logged, and monitored reliably. The objective is to reduce manual intervention across implementation and support operations while improving efficiency and consistency. • Translate Architecture into Production Systems: • Partner with solution architects to convert technical designs into scalable, maintainable implementations. Establish structured data contracts and schemas to ensure clarity and consistency across systems. Implement appropriate guardrails, logging, monitoring, and observability practices to support operational stability. Ensure workflows meet security, compliance, and production-readiness standards prior to deployment. • Scale Through Cloud-Native Engineering: • Leverage Microsoft Azure services (Functions, App Services, Logic Apps, Azure AI) to design solutions that are modular, version-controlled, and CI/CD enabled for continuous improvement. • Embed AI Into Real Workflows: • Integrate LLMs into structured database workflows and support retrieval-based (RAG) patterns. Implement evaluation and monitoring loops to ensure intelligent services improve execution quality without adding noise. • Your Key Strengths: • 2–5+ years of production experience in SQL, C#, Python, or JavaScript • Strong relational database design, scripting, and query optimization skills. • Experience integrating AI or LLM services, with exposure to frameworks like Semantic Kernel, Copilot Studio, or AI Foundry. • Demonstrated ability to build scalable, repeatable solutions and move from concept to production in ambiguous environments. • Strong problem-solving skills in ambiguous environments with the ability to work seamlessly across product, integration, and delivery teams. • Strong Cross functional work experience with Engineering, Implementations, or Security teams. • Experience building and deploying applications in the Microsoft Azure ecosystem. • Familiarity with CI/CD pipelines and structured Git workflows.
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